• DocumentCode
    2678332
  • Title

    Judging whether a document changes in subject

  • Author

    Nicholson, Colin

  • Author_Institution
    Inst. for Artificial Intell., Univ. of Georgia, Athens, GA, USA
  • fYear
    2009
  • fDate
    5-8 March 2009
  • Firstpage
    189
  • Lastpage
    194
  • Abstract
    This paper describes a method for determining whether a document is composed of text related to a single subject or text that changes subjects. The algorithm involves dividing the document into five equal parts and measuring the text similarity of the different sections with one another. Documents that drift in subject are shown to have a higher standard deviation of similarity values than documents that remain on one subject. This method requires a threshold value that is specific to the domain to work properly.
  • Keywords
    classification; fuzzy logic; text analysis; classification; coherence; document; fuzzy logic; semantic unity; standard deviation; subject; text similarity; threshold value; Artificial intelligence; Broadcasting; Computer errors; Distortion measurement; Fasteners; Size measurement; Software measurement; Speech; Testing; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon, 2009. SOUTHEASTCON '09. IEEE
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4244-3976-8
  • Electronic_ISBN
    978-1-4244-3978-2
  • Type

    conf

  • DOI
    10.1109/SECON.2009.5174074
  • Filename
    5174074